vadersame Goto Github PK

followers: 2.0 following: 4.0 repos: 26.0 gists: 0.0

Name: Semal Shastri

Type: User

Location: Barrie , ON

🌟 Curious Data Alchemist | Machine Learning Explorer 📈 | Pop Culture Enthusiast 🎮🍿

Hi 👋 My name is Semal Shastri

🌍 I'm based in Ontario , Canada
✉️ You can contact me at [email protected]
🧠 I'm learning Tensorflow , Pytorch
🤝 I'm open to collaborating on Data Science , Machine Learning project

Welcome to my data playground on GitHub! I'm an aspiring data scientist with an insatiable curiosity for all things data, a growing fascination with the enchanting world of machine learning, and a deep love for gaming, movies, and TV shows.

About Me

🎓 I'm currently a graduate student at Georgian College, focusing on Artificial Intelligence Design and Implementation. My academic journey is driven by a deep passion for harnessing the power of AI to shape the future. 💻 I bring a background as a former full stack developer, where I honed my software design skills and collaborated with clients to deliver efficient solutions. 🤝 As an experienced collaborator, I closely worked with clients to understand their requirements and analyze their needs, resulting in optimal solutions delivered on time and within budget.

🔭 What's Brewing Here:

📊 Data Expeditions: Join me on exciting data adventures, from predicting wine quality to uncovering the mysteries hidden in datasets.
🧠 Learning Odyssey: This is my data-driven odyssey, where I share the highs, lows, and eureka moments of my journey into the realm of machine learning.
📈 Visual Stories: Discover the art of data visualization and how it breathes life into raw numbers. Each project is a canvas where I paint with data.

🎮 Beyond the Data:

🎯 Gaming Aficionado: I'm a passionate gamer exploring the data side of gaming, from character stats to player trends.
📺 Movie Buff & TV Series Addict: When not crunching numbers, I'm unwinding with my favorite movies and TV shows. Let's discuss recommendations!
🎬 Pop Culture Devotee: From comics to conventions, I embrace all things pop culture. If there's a data angle to it, I'll find it!

📚 Lifelong Learner

When not immersed in data or pop culture, I'm probably nose-deep in a book or exploring a new topic.

🌠 Let's embark on this magical data odyssey and delve into the wonders of pop culture together. Data has the power to illuminate the path to new and exciting discoveries, whether we're analyzing the intricacies of a game or deciphering the storytelling of a movie. Your collaboration and ideas are stardust in this journey!

🐱‍👤 Skills

Semal Shastri's Projects

american-sign-language-prediction

Image Classification of an American Sign Language

coding-interview-university

A complete computer science study plan to become a software engineer.

credit-card-fraud-detection-pytorch

deeplearning

dqn-agent-cartpole-v1

using PyTorch to train a Deep Q Learning (DQN) agent on the CartPole-v1 task from [Gymnasium]

easy21

Implementation of easy21 assigment from RL class by David Silver

eyes-classification

Female and male eyes - Find out the gender by eye.

flask-dialogflow

web API using flask to service the fulfillment using google cloud services

frozen-lake-drl

openAI gynamsium developing and comparing reinforcement learning algorithms

german-credit-analysis

The original dataset contains 1000 entries with 20 categorial/symbolic attributes prepared by Prof. Hofmann. In this dataset, each entry represents a person who takes a credit by a bank. Each person is classified as good or bad credit risks according to the set of attributes.

github-slideshow

A robot powered training repository :robot:

hate-speech-and-offensive-language

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

hate-speech-detection

Project repo for MLP

hugging-face-nlp-model

SamLowe/roberta-base-go_emotions trained from roberta-base on the go_emotions dataset for multi-label classification.

imdb-dataset

MDB dataset having 50K movie reviews for natural language processing or Text analytics. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets.

iris-dataset

This GitHub repository contains a comprehensive analysis of the popular Iris dataset using various machine learning algorithms, including Logistic Regression, Support Vector Machines (SVM), and Random Forest. Additionally, it explores the impact of different data split ratios (80-10-10 vs. 60-20-20) on model performance.

mall-customers-segmentation-dataset-

exploring customer segmentation also known as market basket analysis using various unsupervised ML techniques

mlfromscratch

Machine Learning algorithm implementations from scratch.

my_resume

netflix-imdb-data-analysis

analysis of netflix titles and their imdb ratings using python and PowerBI

red-wine-quality

This project analyzes the quality of red wine based on various attributes using Python and Jupyter Notebook. It includes data exploration, data preparation, modeling with two regression algorithms, model evaluation, feature importance analysis, and a conclusion summarizing key insights.